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California Institute of Technology’s John Hopfield
Howard Bloom • The Lucifer Principle: A Scientific Expedition into the Forces of History
Each of the systems interacts with its environment in a game-like way: sequences of action (“moves”) occasionally produce payoff, special inputs that provide the system with the wherewithal for continued existence and adaptation.
Jessica C. Flack • Worlds Hidden in Plain Sight: The Evolving Idea of Complexity at the Santa Fe Institute, 1984–2019 (Compass)
Schmidt and Lipson published a paper describing their algorithm, they were deluged with requests for access to the software from other scientists, and they decided to make Eureqa available over the Internet in late 2009. The program has since produced a number of useful results in a range of scientific fields, including a simplified equation
... See moreMartin Ford • Rise of the Robots: Technology and the Threat of a Jobless Future
These are all highly contestable statements.
W. Brian Arthur • Complexity Economics: Proceedings of the Santa Fe Institute's 2019 Fall Symposium
I think the most worrisome aspect of AI systems in the short term is that we will give them too much autonomy without being fully aware of their limitations and vulnerabilities. We tend to anthropomorphize AI systems: we impute human qualities to them and end up overestimating the extent to which these systems can actually be fully trusted.